Technologies We Use

We work with modern frontend frameworks, mobile technologies, backend platforms, cloud infrastructure, AI frameworks, databases, and DevOps tools to build applications that are fast, secure, scalable, maintainable, and ready for growth.

Frontend Technologies

Fast, Responsive & Engaging User Experiences

We use modern frontend technologies to create responsive interfaces that perform smoothly across browsers, devices, and screen sizes.

React.js

Component-driven interfaces for dashboards, SaaS products, and customer portals, built to stay maintainable as the screen count grows.

Next.js

React with server rendering and routing built in, for marketing sites and portals that need fast first loads and search visibility.

Vue.js

A gentler learning curve than React, which suits teams who will maintain the front end themselves after handover.

Angular

A batteries-included framework for large internal applications, where consistency across several teams matters more than flexibility.

Mobile Technologies

Native & Cross-Platform Mobile Development

From consumer applications to enterprise mobility platforms, we build mobile experiences designed for performance, usability, and scalability.

Flutter

One codebase for iOS and Android with the same interface on both, which suits products where design consistency is the priority.

React Native

Cross-platform apps sharing most of their code with your web front end, with native modules where performance demands them.

Swift

Native iOS apps with full access to the platform, for products where responsiveness and Apple integration are the point.

Kotlin

Google's preferred language for Android, with Jetpack Compose for modern, maintainable native interfaces.

Java

Enterprise Android and backend systems, where a long support horizon matters more than the newest language features.

Backend Technologies

Server Logic That Stays Fast Under Real Load

The layer your product actually runs on: APIs, business rules, integrations with the systems you already have, and the data handling underneath them.

Node.js

JavaScript on the server, so one language spans the stack. Well suited to APIs, real-time features, and streaming workloads.

Python

Backends, data pipelines, and machine learning in one language, which is why AI-adjacent products usually start here.

PHP / Laravel

Fast backend delivery on the most widely hosted stack, with a mature ecosystem for admin panels, billing, and queues.

Java Spring Boot

The default for regulated enterprise backends, with the security, transaction, and audit tooling those systems require.

Go

Compiled, concurrent, and lean on memory, for services where throughput and predictable latency decide the hosting bill.

.NET / ASP.NET

Microsoft's enterprise stack, the natural fit where Active Directory, SQL Server, and Azure are already in place.

Ruby on Rails

Convention over configuration, still one of the fastest routes from an idea to a working product with real users.

Cloud Platforms

Infrastructure That Scales With You Not Ahead Of You

Hosting, storage, and managed services sized for what you run today, with room to grow into without paying for the growth up front.

AWS

The broadest service catalogue, and the safest default when you need a particular managed service to simply exist.

Google Cloud

Strongest where data and machine learning are central, with BigQuery and Vertex AI doing the heavy lifting.

Firebase

Auth, database, storage, and hosting without a backend team, which is why so many first releases launch on it.

Microsoft Azure

The path of least resistance for organisations already running Microsoft 365 and Active Directory.

AI And Machine Learning

AI Features That Earn Their Place In Your Product

Language and vision features wired into real workflows, with an honest view of what a model can be trusted to do and where a human still has to sign off.

TensorFlow

Production machine learning with a mature deployment story, including on-device inference through TensorFlow Lite.

PyTorch

The research default, and increasingly the production one, for teams training their own models rather than calling an API.

OpenAI / GPT

Language features without training anything: summarisation, extraction, drafting, and support, wired into your product.

LangChain

Orchestration for retrieval, tools, and multi-step reasoning, so an AI feature is testable rather than one long prompt.

Databases

Data Stored Safely And Queried Quickly

Relational, document, and in-memory stores picked for how your data is actually shaped and read, rather than for what is fashionable.

MongoDB

Document storage for data whose shape keeps changing, and for products where the schema is still being discovered.

MySQL

The most widely deployed relational database, with hosting, tooling, and expertise available almost anywhere.

Redis

In-memory caching, sessions, queues, and rate limiting - usually the cheapest latency win available to a product.

DevOps And Infrastructure

Ship Often, Break Nothing, Recover Fast

Containers, orchestration, infrastructure as code, and pipelines, so releasing stops being an event the whole team has to schedule around.

Docker

Containers, so the application runs the same on a laptop, in CI, and in production, which removes a whole class of bug.

Kubernetes

Orchestration for estates that genuinely need it, after an honest conversation about whether yours is one of them.

Terraform

Infrastructure defined in code and reviewed like code, so rebuilding an environment is a command rather than a memory.

CI/CD Pipelines

Every change tested as it arrives and released without ceremony, so an urgent fix reaches customers in minutes.

Specialised Technologies

The Right Tool For A Specific Problem

Where a general stack is not enough: typed APIs serving several clients, real-time media, and contracts that execute on a blockchain.

GraphQL

One typed schema serving web and mobile, so a new screen rarely needs another backend endpoint written first.

WebRTC

Live video, voice, and screen sharing inside your own product, with the relay infrastructure that makes it work.

Solidity

Smart contracts for Ethereum and other EVM chains, with the review and audit process code holding value requires.

From the product, not from preference. What you are building, who maintains it after launch, what it has to integrate with, and how much traffic it realistically needs to carry. We will tell you when a simpler option would do the job.

Full Name *

Phone Number *

Email Address *

Message *